Step 1: Understanding the Concept:
The Gauss-Jordan method is an extension of Gaussian elimination used to solve systems of linear simultaneous equations.
It relies on performing elementary row operations on the augmented matrix \([A|B]\).
Step 2: Detailed Explanation:
Let us evaluate each procedure listed:
- Statement A: Assuming initial approximate values is a feature of iterative numerical methods, such as the Gauss-Seidel or Jacobi methods, not direct elimination methods. Thus, A is incorrect.
- Statement B: Reducing the system to an equivalent upper triangular system is the standard procedure of Gaussian elimination (followed by back-substitution to find the variables). Thus, B is incorrect.
- Statement C: In the Gauss-Jordan method, row operations are applied both below and above the pivot elements.
This reduces the coefficient matrix \(A\) directly to a diagonal matrix (or identity matrix), allowing the values of the variables to be read directly without back-substitution. Thus, C is correct.
- Statement D: Factoring the matrix into lower and upper triangular matrices is the procedure used in LU Decomposition (or Crout's/Doolittle's methods). Thus, D is incorrect.
Consequently, only Statement C describes the Gauss-Jordan method.
Step 3: Final Answer:
The correct option is C only.